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Radio map describes network coverage and is a practically important tool for network planning in modern wireless systems. Generally, radio strength measurements are collected to construct fine-resolution radio maps for analysis. However,…

Signal Processing · Electrical Eng. & Systems 2022-09-13 Songyang Zhang , Tianhang Yu , Jonathan Tivald , Brian Choi , Feng Ouyang , Zhi Ding

Radio maps characterize quantities of interest in radio communication environments, such as the received signal strength and channel attenuation, at every point of a geographical region. Radio map estimation typically entails interpolative…

Signal Processing · Electrical Eng. & Systems 2022-11-23 Daniel Romero , Seung-Jun Kim

Radio maps provide metrics such as power spectral density for every location in a geographic area and find numerous applications such as UAV communications, interference control, spectrum management, resource allocation, and network…

Signal Processing · Electrical Eng. & Systems 2021-09-10 Yves Teganya , Daniel Romero

Radio map in general refers to the geographical signal power spectrum density, formed by the superposition of concurrent wireless transmissions, as a function of location, frequency and time. It contains rich and useful information…

Information Theory · Computer Science 2018-12-19 Suzhi Bi , Jiangbin Lyu , Zhi Ding , Rui Zhang

Radio maps provide radio frequency metrics, such as the received signal strength, at every location of a geographic area. These maps, which are estimated using a set of measurements collected at multiple positions, find a wide range of…

Information Theory · Computer Science 2024-03-26 Daniel Romero , Tien Ngoc Ha , Raju Shrestha , Massimo Franceschetti

A radiomap represents the spatial distribution of wireless signal strength, critical for applications like network optimization and autonomous driving. However, constructing radiomap relies on measuring radio signal power across the entire…

Signal Processing · Electrical Eng. & Systems 2025-02-19 Yiheng Wang , Ye Xue , Shutao Zhang , Tsung-Hui Chang

The radio map represents the spatial distribution of spectrum resources within a region, supporting efficient resource allocation and interference mitigation. However, it is difficult to construct a dense radio map as a limited number of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-25 Taiqin Chen , Zikun Zhou , Zheng Fang , Wenzhen Zou , Kangjun Liu , Ke Chen , Yongbing Zhang , Yaowei Wang

Spectrum maps, which provide RF spectrum metrics such as power spectral density for every location in a geographic area, find numerous applications in wireless communications such as interference control, spectrum management, resource…

Signal Processing · Electrical Eng. & Systems 2019-12-02 Yves Teganya , Daniel Romero

Radio maps reflect the spatial distribution of signal strength and are essential for applications like smart cities, IoT, and wireless network planning. However, reconstructing accurate radio maps from sparse measurements remains…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Chuyun Deng , Na Liu , Wei Xie , Lianming Xu , Li Wang

Enriching information of spectrum coverage, radiomap plays an important role in many wireless communication applications, such as resource allocation and network optimization. To enable real-time, distributed spectrum management,…

Signal Processing · Electrical Eng. & Systems 2026-01-21 Yueling Zhou , Achintha Wijesinghe , Yue Wang , Songyang Zhang , Zhipeng Cai

To characterize radio frequency (RF) signal power distribution in wireless communication systems, the radiomap is a useful tool for resource allocation and network management. Usually, a dense radiomap is reconstructed from sparse…

Signal Processing · Electrical Eng. & Systems 2025-02-26 Yueling Zhou , Achintha Wijesinghe , Yibo Ma , Songyang Zhang , Zhi Ding

With the emergence of wireless applications in three-dimensional environments, such as the low-altitude airspace and 3D heterogeneous networks, radio map estimation is increasingly required to characterize signal propagation across both…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Zheng Fang , Junjie Liu , Kangjun Liu , Jianguo Zhang , Yaowei Wang , Ke Chen

Radio maps (RMs) serve as environment-aware electromagnetic (EM) representations that connect scenario geometry and material properties to the spatial distribution of signal strength, enabling localization without costly in-situ…

Machine Learning · Computer Science 2025-11-26 Xiucheng Wang , Tingwei Yuan , Yang Cao , Nan Cheng , Ruijin Sun , Weihua Zhuang

A fundamental building block for supporting better utilization of radio spectrum involves predicting the impact that an emitter will have at different geographic locations. To this end, fixed sensors can be deployed to spatially sample the…

Computational Engineering, Finance, and Science · Computer Science 2016-11-14 Shweta Sagari , Larry Greenstein , Wade Trappe

The task of radio map estimation aims to generate a dense representation of electromagnetic spectrum quantities, such as the received signal strength at each grid point within a geographic region, based on measurements from a subset of…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Zheng Fang , Kangjun Liu , Ke Chen , Qingyu Liu , Jianguo Zhang , Lingyang Song , Yaowei Wang

Spectrum cartography aims at estimating power propagation patterns over a geographical region across multiple frequency bands (i.e., a radio map)---from limited samples taken sparsely over the region. Classic cartography methods are mostly…

Signal Processing · Electrical Eng. & Systems 2020-10-28 Guoyong Zhang , Xiao Fu , Jun Wang , Xi-Le Zhao , Mingyi Hong

Radio Environment Maps (REMs) are crucial for numerous applications in Telecom. The construction of accurate Radio Environment Maps (REMs) has become an important and challenging topic in recent decades. In this paper, we present a method…

Networking and Internet Architecture · Computer Science 2024-07-11 Ali Shibli , Tahar Zanouda

Received signal strength based radio tomographic imaging is a popular device-free indoor localization method which reconstructs the spatial loss field of the environment using measurements from a dense wireless network. Existing methods…

Emerging Technologies · Computer Science 2016-04-12 Hüseyin Yiğitler , Riku Jäntti , Ossi Kaltiokallio , Neal Patwari

Radio maps (RMs) are essential for environment-aware communication and sensing, providing location-specific wireless channel information. Existing RM construction methods often rely on precise environmental data and base station (BS)…

Artificial Intelligence · Computer Science 2025-05-22 Xiucheng Wang , Zhongsheng Fang , Nan Cheng , Ruijin Sun , Zan Li , Xuemin , Shen

Radio maps are important enablers for many applications in wireless networks, ranging from network planning and optimization to fingerprint based localization. Sampling the complete map is prohibitively expensive in practice, so methods for…

Signal Processing · Electrical Eng. & Systems 2020-01-27 Daniel Schäufele , Renato L. G. Cavalcante , Slawomir Stanczak
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